"The new features of 5G communication may have been used for telecommunications network fraud." Independent telecommunications analyst Fu Liang recently told a reporter from China Consumer News, "People wearing police uniforms seen in video calls and photos and wanted notices sent by the other party seen in text messages may all be fake!" With the continuous advancement of technology, new communication technologies such as deep forgery, voice synthesis, social engineering, and social robots are becoming a means of telecommunications network fraud, with strong deceptive power. The official website of the Ministry of Public Security recently released the top ten high-risk types of telecommunications network fraud, among which the eighth category is "impersonation of public security organs, procuratorates, laws, and government agencies for fraud", in which criminals use video calls, which may be the new 5G call function. So, in daily life, how do we prevent new technology fraud methods? A reporter from China Consumer Daily conducted an interview on this matter. The top ten high incidence telecommunications network fraud types announced by the Ministry of Public Security this time include: brushing orders and rebate fraud, which mainly involves recruiting part-time workers to brush orders, inducing online pornography to brush orders, and other complex types of fraud. It is the type of fraud with the largest number of cases and the most losses caused; False online investment and financial fraud, with the largest individual loss amount; False shopping service fraud, with a significant increase in the number of cases; Counterfeiting e-commerce logistics customer service fraud; False loan fraud; False credit fraud; Fake a leader to be familiar with human fraud; Counterfeiting public security, procuratorial and government agencies for fraud; Online marriage and dating fraud; Fraud related to false transactions in online game products. "Although these types of scams are similar to previous years, it is becoming increasingly common for criminals to use a combination of phones, instant messaging tools, apps, etc., and most of them have detailed fraud scripts. During the fraud process, the ability to identify vulnerable groups and counter investigate has been improved." Fu Liang said, "It should be noted that in the eighth typical case published on the official website of the Ministry of Public Security, criminals used video calls." Fu Liang's analysis pointed out that in the eighth typical case, Du received a video call from a police officer at home, which may be the video call function in 5G new calls. Communication technologies such as 5G new calls and 5G messaging have greatly enhanced the multimedia interaction capabilities of both parties, and have also provided new means of fraud for criminals. Fu Liang told reporters that in addition to impersonating the public security, procuratorial, and judicial authorities, fraud by impersonating acquaintances in daily life may also be carried out through video calls and multimedia text messages, in order to achieve the level of authenticity. In addition, large models, digital humans, and others may also fabricate the image of the interlocutor to enhance credibility. Recently, the filling out of college entrance examination preferences in various regions has ended and entered the stage of university admission. Candidates and parents should also be wary of being scammed by fake schools, fake intermediaries, and other means through new technologies. Expert analysis of electronic fraud tricks. Pet expert Dr. Laila tells you how to feed dogs? Saman pet experts recommend natural food... Netizen Fujimori sent multiple similar videos to reporters, saying, "There are too many videos online that use deep forgery technology, most of which are suspected of online fraud." "The principle of deep forgery technology is to use deep learning algorithms to generate realistic videos, synthesize a person's face and voice into the video, and make it look like a specific person." Zhao Ying, a security expert at Tongdun Technology, told reporters. This is a technology based on artificial intelligence and machine learning, mainly utilizing deep learning algorithms to generate or tamper with images and videos, making them appear real. In cases based on deep forgery technology, fraudsters can generate forged videos, impersonate police officers, bank staff, etc., and make video calls with victims to increase credibility. "Under the new technology, 'guess who I am' is definitely more deceptive than in the past because criminals use synthetic voices." Zhao Ying pointed out that the principle of synthetic voice technology is to use AI algorithms to mimic the voice of specific characters, generate realistic speech, and make it sound like a real conversation. This is a technology that generates human like speech through computer algorithms and artificial intelligence technology, typically using text to speech technology to automatically convert written text into speech output. Scammers use synthetic sound technology, combined with video impersonation of official personnel to communicate with victims and further deceive them. In the case cited by Fujimori, social robotics technology was also superimposed. According to Zhao Ying, the principle is to use natural language processing technology to create programs that can simulate human conversations. This is an artificial intelligence application that utilizes natural language processing and machine learning techniques to understand the language input by users and make corresponding responses or execute tasks. Social robots can understand natural language input, provide instant response and interaction, and can process user queries and requests without human intervention. They are mainly used on marriage and dating websites. Scammers use chatbots to establish contact with victims and maintain false romantic relationships for a long time. "Always guard against new technology fraud. When it comes to audio and video, pay attention to details," Zhao Ying said when discussing the means of preventing new technology fraud. When identifying deep forgery technology videos, attention should be paid to observing whether the facial expressions of the characters in the video are natural, whether lip synchronization is accurate, and whether there are any abnormal image distortions. Verify the authenticity of the sound, as the synthesized sound may have mechanical effects and unnatural intonation. In addition, multiple channels can be used, such as calling the official customer service hotline, confirming the identity of the other party in person, etc., to avoid relying solely on a single channel for judgment. "Nowadays, there are many experts' science popularization, marriage proposals, and sales videos of foreign faces online. Their speech patterns are basically consistent with the Chinese subtitles on the videos, but some things are only found in China and can be recognized through lip language." Fujimori told reporters. Fujimori is a hearing-impaired person who can read lip language and is proficient in multiple languages, so he can easily recognize these videos online based on deep forgery technology at a glance. "But for most ordinary people, they will find it quite authentic, especially the elderly," said Fujimori. Zhao Ying believes that even if it is not possible to identify new technological means of electronic fraud, non-technical prevention measures can still be used to combat electronic fraud. For example, remain highly vigilant when suddenly contacting and requesting a transfer, and do not trust any unverified information; Not easily downloading and running software provided by strangers, especially remote control software; Do not disclose personal bank card number, ID number, verification code and other sensitive information at will; Before transferring funds, confirm the identity of the other party through other channels such as phone calls, video calls, etc; Regularly learn about the latest fraud techniques and prevention measures, and enhance self-protection awareness. (Lai Xin She)